Optimizing Recommendation Systems with JDK's Vector API

(netflixtechblog.com)

37 points | by mariuz 2 days ago

1 comments

  • aberoham 39 minutes ago
    "the remaining 2% were large batch requests", [which made up 50% of the work] .. who really watches that many shows on Netflix? What was in those batches, if someone is watching that much, why bother with serendipity at all? Most serendipitous thing you could do is shut off their subscription.